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Combining Public Opinion Dissemination with Polarization Process Considering Individual Heterogeneity
The wide dissemination of false information and the frequent occurrence of extreme speeches on online social platforms have become increasingly prominent, which impact on the harmony and stability of society. In order to solve the problems in the dissemination and polarization of public opinion over...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7915404/ https://www.ncbi.nlm.nih.gov/pubmed/33562366 http://dx.doi.org/10.3390/healthcare9020176 |
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author | Chen, Tinggui Rong, Jingtao Yang, Jianjun Cong, Guodong Li, Gongfa |
author_facet | Chen, Tinggui Rong, Jingtao Yang, Jianjun Cong, Guodong Li, Gongfa |
author_sort | Chen, Tinggui |
collection | PubMed |
description | The wide dissemination of false information and the frequent occurrence of extreme speeches on online social platforms have become increasingly prominent, which impact on the harmony and stability of society. In order to solve the problems in the dissemination and polarization of public opinion over online social platforms, it is necessary to conduct in-depth research on the formation mechanism of the dissemination and polarization of public opinion. This article appends individual communicating willingness and forgetting effects to the Susceptible-Exposed-Infected-Recovered (SEIR) model to describe individual state transitions; secondly, it introduces three heterogeneous factors describing the characteristics of individual differences in the Jager-Amblard (J-A) model, namely: Individual conformity, individual conservative degree, and inter-individual relationship strength in order to reflect the different roles of individual heterogeneity in the opinions interaction; thirdly, it integrates the improved SEIR model and J-A model to construct the SEIR-JA model to study the formation mechanism of public opinion dissemination and polarization. Transmission parameters and polarization parameters are simulated and analyzed. Finally, a public opinion event from the pricing of China’s self-developed COVID-19 vaccine are used, and related Weibo comment data about this event are also collected so as to verify the rationality and effectiveness of the proposed model. |
format | Online Article Text |
id | pubmed-7915404 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-79154042021-03-01 Combining Public Opinion Dissemination with Polarization Process Considering Individual Heterogeneity Chen, Tinggui Rong, Jingtao Yang, Jianjun Cong, Guodong Li, Gongfa Healthcare (Basel) Article The wide dissemination of false information and the frequent occurrence of extreme speeches on online social platforms have become increasingly prominent, which impact on the harmony and stability of society. In order to solve the problems in the dissemination and polarization of public opinion over online social platforms, it is necessary to conduct in-depth research on the formation mechanism of the dissemination and polarization of public opinion. This article appends individual communicating willingness and forgetting effects to the Susceptible-Exposed-Infected-Recovered (SEIR) model to describe individual state transitions; secondly, it introduces three heterogeneous factors describing the characteristics of individual differences in the Jager-Amblard (J-A) model, namely: Individual conformity, individual conservative degree, and inter-individual relationship strength in order to reflect the different roles of individual heterogeneity in the opinions interaction; thirdly, it integrates the improved SEIR model and J-A model to construct the SEIR-JA model to study the formation mechanism of public opinion dissemination and polarization. Transmission parameters and polarization parameters are simulated and analyzed. Finally, a public opinion event from the pricing of China’s self-developed COVID-19 vaccine are used, and related Weibo comment data about this event are also collected so as to verify the rationality and effectiveness of the proposed model. MDPI 2021-02-07 /pmc/articles/PMC7915404/ /pubmed/33562366 http://dx.doi.org/10.3390/healthcare9020176 Text en © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Chen, Tinggui Rong, Jingtao Yang, Jianjun Cong, Guodong Li, Gongfa Combining Public Opinion Dissemination with Polarization Process Considering Individual Heterogeneity |
title | Combining Public Opinion Dissemination with Polarization Process Considering Individual Heterogeneity |
title_full | Combining Public Opinion Dissemination with Polarization Process Considering Individual Heterogeneity |
title_fullStr | Combining Public Opinion Dissemination with Polarization Process Considering Individual Heterogeneity |
title_full_unstemmed | Combining Public Opinion Dissemination with Polarization Process Considering Individual Heterogeneity |
title_short | Combining Public Opinion Dissemination with Polarization Process Considering Individual Heterogeneity |
title_sort | combining public opinion dissemination with polarization process considering individual heterogeneity |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7915404/ https://www.ncbi.nlm.nih.gov/pubmed/33562366 http://dx.doi.org/10.3390/healthcare9020176 |
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